INESC-ID

About: INESC-ID is a nonprofit organization based out in Lisbon, Portugal. It is known for research contribution in the topics: Field-programmable gate array & Control theory. The organization has 932 authors who have published 2618 publications receiving 37658 citations.

QoE-JVM: An Adaptive and Resource-Aware Java Runtime for Cloud Computing

Abstract: Cloud computing has been dominated by system-level virtual machines to enable the management of resources using a coarse grained approach, largely in a manner independent from the applications running on these infrastructures. However, in such environments, although different types of applications can be running, the resources are often delivered in a equal manner to each one, missing the opportunity to manage the available resources in a more efficient and application aware or driven way.

Impact of Robot Initiative on Human-Robot Collaboration

Abstract: This paper presents a study on the impact of autonomy in the context of human-robot collaboration. We consider two conditions: i) a semi-autonomous robot that decides when to execute a supporting action, and ii) a support robot that has to be instructed of each action on a collaborative task. The semi-autonomous robot gradually learns how to support the human through experience. We found that users prefer the semi-autonomous robot and that the behavior was closer to their expectations despite them being more afraid of it. We also found that even if users noticed the robot was learning in one case, they wanted more autonomy in both conditions.

Live demonstration: A CMOS ASIC for precise reading of a Magnetoresistive sensor array for NDT

Abstract: Non-destructive testing (NDT) based on eddy currents (EC) is commonly used to detect defects in conductive materials. Usually the system includes an emitter coil, and one receiver coil or one Magnetoresistive (MR) sensor. In this work we added an interface ASIC that pre-amplifies and filters the signal from an array of MR sensors. This demo will present a new version based on the work presented at the ECNDT 2014 conference with a paper entitled “A CMOS ASIC for Precise Reading of a Magnetoresistive Sensor Array for NDT”. Since this is an on-going work, improvements have been made, namely the reduction of the system thermal noise to 30 nV/√Hz, the development of a multigain amplifier and the application of the same concept and circuit to a multichannel parallel signal acquisition system. Detection of surface and buried defects will be demonstrated in different material mock-ups.

Efficient alignment of pyrosequencing reads for re-sequencing applications

Abstract: Over the past few years, new massively parallel DNA sequencing technologies have emerged. These platforms generate massive amounts of data per run, greatly reducing the cost of DNA sequencing. However, these techniques also raise important computational difficulties mostly due to the huge volume of data produced, but also because of some of their specific characteristics such as read length and sequencing errors. Among the most critical problems is that of efficiently and accurately mapping reads to a reference genome in the context of re-sequencing projects. We present an efficient method for the local alignment of pyrosequencing reads produced by the GS FLX (454) system against a reference sequence. Our approach explores the characteristics of the data in these re-sequencing applications and uses state of the art indexing techniques combined with a flexible seed-based approach, leading to a fast and accurate algorithm which needs very little user parameterization. An evaluation performed using real and simulated data shows that our proposed method outperforms a number of mainstream tools on the quantity and quality of successful alignments, as well as on the execution time. The proposed methodology was implemented in a software tool called TAPyR--Tool for the Alignment of Pyrosequencing Reads--which is publicly available from http://www.tapyr.net .

The L2F Spoken Web Search system for Mediaeval 2012.

Abstract: This document presents a brief description of INESC-ID’s Spoken Language Systems Laboratory (L 2 F) Spoken Web Search system submitted to the Mediaeval 2012 evaluation campaign. The L 2 F system consists of the fusion of four individual sub-systems based on hybrid approaches for speech recognition exploiting four dierent language-dependent phonetic classiers. The achieved results conrm